pricing_strategist
Stratège de pricing — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Vercel Pricing 2026 — 4 tiers + usage metering · 3 scenarios pricing chiffrés · ARPU +28% target. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/pricing-strategist.md
What pricing_strategist does on Mcp Knowledge
AI agents call pricing_strategist to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
focus | string | — | |
company | object | Yes | |
competitors | array | Yes | |
currentPricing | object | Yes | |
valueProposition | string | Yes |
Parameters from the server's own tool schema.
Why pricing_strategist is rated Low
The tool describes itself as a pricing strategist that returns a structured, audited deliverable (pricing tiers, scenarios, ARPU targets). There is no indication it executes code, modifies data, deletes anything, or moves money — it produces analytical output (pricing strategy recommendations). This is best classified as Read (query/analysis returning structured content).
From the tool's definition 'Stratège de pricing' and 'Returns a structured, audited deliverable' — the tool appears to generate strategic pricing analysis and structured reports based on inputs, analogous to a consulting/advisory read operation with no side effects described.
Risk signalsHigh parameter count (18 properties)
Attacks that exploit this kind of access
The rule that runs pricing_strategist safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pricing_strategist, this is the rule to start with:
pricing_strategist is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every pricing_strategist call is checked against it from then on.
Questions about pricing_strategist
Stratège de pricing — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Vercel Pricing 2026 — 4 tiers + usage metering · 3 scenarios pricing chiffrés · ARPU +28% target. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
pricing_strategist accepts 6 parameters: async, focus, company, competitors, currentPricing, valueProposition. Required: company, competitors, currentPricing, valueProposition. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for pricing_strategist: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.
pricing_strategist is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the pricing_strategist rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for pricing_strategist. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
pricing_strategist is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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